121 packages returned for Tags:"learning"

Gets ngrams and cleans text.

F# extensions to simplify CNTK usage

The core of the Accord.NET Framework. Contains basic classes such as general exceptions and extensions used by other framework libraries.

Official Vowpal Wabbit library including C# interface

Microsoft Cognitive Toolkit Libraries, GPU Build

Library for implementing Tin Can API (Experience API)

Microsoft Cognitive Toolkit Libraries, CPU-Only Build

.NET Bindings for TensorFlow

This package contains libraries of the Accord.NET Framework that are NOT available under the LGPL. It currently includes Accord.MachineLearning.GPL, which contains GPL code and thus can only be used inside GPL-compliant applications. Please take extra care before including this library in your... More information

A fast, distributed, high performance gradient boosting framework

numl is a machine learning library intended to ease the use of using standard modeling techniques for both prediction and clustering

Official Vowpal Wabbit library including C# interface

Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning. Make sure to set the platform of your project to x64.

The IBM.WatsonDeveloperCloud is a core project of Watson SDK in .Net. The other Watson SDK in .Net service packages depend on this package.

Contains classes to download and parse machine learning datasets such as MNIST, News20, Iris. This package is part of the Accord.NET Framework.

Official Vowpal Wabbit library including C# interface

Bright Wire is an open source machine learning library. Includes neural networks (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, k-means clustering and dimensionality reduction.

DiffSharp is an automatic differentiation (AD) library. AD allows exact and efficient calculation of derivatives, by systematically invoking the chain rule of calculus at the elementary operator level during program execution. AD is different from numerical differentiation, which is prone to... More information

Provides learning algorithms and models for DecisionTree regression and classification.

Provides classification, regression, impurity and ranking metrics.